Triple
T13201662
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2010 UEFA Champions League Final |
E314255
|
entity |
| Predicate | bayernCompetitionTitleCountAfterMatch |
P102199
|
FINISHED |
| Object | 4 |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: 4 | Statement: [2010 UEFA Champions League Final, bayernCompetitionTitleCountAfterMatch, 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bayernCompetitionTitleCountAfterMatch Context triple: [2010 UEFA Champions League Final, bayernCompetitionTitleCountAfterMatch, 4]
-
A.
bayernTitleCount
chosen
Indicates the number of titles that Bayern Munich has won.
-
B.
homeTeamTitleCountAfterMatch
Indicates the total number of titles the home team has accumulated after the completion of the referenced match.
-
C.
wonBundesligaWith
Indicates that one entity achieved victory in the Bundesliga while being associated with (e.g., playing for or coaching) the other entity.
-
D.
numberOfGermanChampionships
Indicates the count of German championship titles associated with a given entity.
-
E.
lastMatchCompetition
Indicates that the relationship specifies the competition in which the entity’s most recent match took place.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d806aee7308190b70a237ba2a6e3e1 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98cf054f88190b05ced98d5a22a62 |
completed | April 10, 2026, 11:51 p.m. |
| PD | Predicate disambiguation | batch_69d98bc6bc108190b5a6a265bf6e9fd4 |
completed | April 10, 2026, 11:46 p.m. |
Created at: April 9, 2026, 9:16 p.m.